Muhammad Shahbaz
Muhammad has been involved with the P4 Project since 2015. At the time, he worked on programmable data-plane abstractions and systems such as PISCES, which he co-authored, helping advance P4-based systems research such as Taurus and Homunculus. He’s currently a P4 Education Working Group co-chair and is involved in the planning for EuroP4’26.
Muhammad actively works on the P4-based systems for in-network ML, programmable SmartNICs, scalable stateful inference, and educational material that helps students and new contributors learn programmable networking. He has worked across academia and industry-facing P4 efforts and cares deeply about making P4 technically strong, accessible, and useful to both researchers and practitioners.